Understanding and Measuring - Institute of Global Homelessness

Understanding and Measuring
Homelessness
in Canada
Stephen Gaetz
Canadian Observatory on Homelessness
Professor, Faculty of Education,
York University, Toronto, Canada
Homelessness in a
Global Landscape
June 1-2, 2014
Part 1
WHY research
and data matter!
Three Uses of Research
• Conceptual
• Instrumental
• Symbolic
(Amara, Ouimet, Landry, 2004)
Part 2
Homelessness
in Canada
Canada
Population: 35 Million
Government of Canada
Homelessness Partnering Strategy
• Began in 1999
• Funding to communities
• Support for research!
HPS support for 61
“Designated Communities
Provinces and Territories
Key responsibilities for:
•
•
•
•
•
•
Health care
Social services
Child protection
Corrections
Housing
Municipalities
Who is homeless?
Who is homeless?
Who is homeless?
Aboriginal Homelessness in Canada
Belanger, et al. 2012
Part 3
The Canadian
Definition of
Homelessness
WHY do we
need a definition
of homelessness?
A common Canadian Definition of
Homelessness allows us to:
• Share a common language about homelessness
• More easily enumerate the problem
• Evaluate outcomes and progress
• Coordinate responses to homelessness
• Develop stronger policy responses
What we did:
a)
Conducted an extensive literature review of
definitions of homelessness in Canada and abroad
b)
Assembled a Stakeholder Working Group to craft
the definition
c)
Consulted with other key stakeholders
The Canadian Definition of
Homelessness
DEFINITION
Homelessness describes the situation of an individual or family without
stable, permanent, appropriate housing, or the immediate prospect,
means and ability of acquiring it. It is the result of systemic or societal
barriers, a lack of affordable and appropriate housing, the
individual/household’s financial, mental, cognitive, behavioural or
physical challenges, and/or racism and discrimination. Most people do
not choose to be homeless, and the experience is generally negative,
unpleasant, stressful and distressing.
Part 4
Measuring
Homelessness
Why do a Count?
It tells us how we are doing.
•
•
•
Provides a baseline
Enables you to measure progress
Helps identify priority populations
Point in Time Counts in Canada
You’ve got to be
careful, because if you
don’t know where you
are going, you might
not get there.”
Yogi Berra
Point in Time Counts in Canada
Prior to 2014

Only a handful of communities across Canada had ever done a PiT count,
of these an even smaller number reported planning future counts:
 Calgary, Edmonton, Vancouver, Toronto, Lethbridge, Red
Deer, Kamloops

These communities were using very different methods (including
definitions, time of year, etc.). This makes it difficult to aggregate data
and analyze.

Communities wedded to their approach and methodology, because of
pride and the ability to compare results to previous counts.
NATIONAL
Point-in-Time Count
Winter 2016
Why a common methodology?
First, communities have access to evidencebased tools. Don’t have to reinvent the wheel
Second, communities can compare results.
Third, results can be aggregated to provide reliable provincial / regional / pan
Canadian data.
Challenges in developing a common method
 Resistance to alignment: ‘Specialness’ disease.
 local context considerations;
 willingness and capacity participate.
Who to count?
Start with the Canadian Definition of Homelessness
Work from the typology
What the survey covers?
Mandatory
minimum data
set
Additional
questions
Optional
questions
1
2
3
4
• Screening
Mandatory
questions
• Consent
• Gender
• Age
• Ethnicity
• Migration
• Immigration
• Homelessness History
• Veteran Status
Canadian
Point-in-Time Count
Methodology and Toolkit
What is in the tool kit?
1. Overview of PiT Counts
2. Planning your PiT count
3. Implementation
4. The Survey
5. Working with data
6. Mobilizing results
Part 5
Emerging
issues in Data
1
Sub-populations
Issues of definition, measurement and
assessment
• Youth
• Women
• Aboriginal people
Sub-populations
Issues of definition, measurement and
assessment
The term “Youth homelessness” refers to the
experience of young people between the ages of
13 and 24 who are living independently of
parents and/or caregivers, and importantly, lack
many of the social supports deemed necessary
for the transition from childhood to adulthood.
2
Integrated data
management systems
•
Important for community planning
and service integration
•
Weak systems currently in place
•
Communities lack resources to
invest in this
3
Acuity Assessment
and Prioritization
• Has become a priority in many
communities because of Housing
First
• Consultant driven
Where does ASSESSMENT fit in?
Community Priorities
Intake
Assessment Tool
Interventions
Case Management
Clinical
Assessments
Data Management Systems
(HMIS, HIFIS)
1
A word of CAUTION!
AVOID SCIENTISM!
Assessment tools are one source of information
to guide decision making. They are not magic,
and they cannot make
decisions for you. Trust
your own knowledge as
well.
4
Growing interest in
understanding hidden
homelessness
• Challenging to do methodologically
• Can link with prevalence studies
Questions
or
comments?